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- 🤖 Context Engineering for AI Agents
🤖 Context Engineering for AI Agents
🦾Plus: 📚 ChatGPT’s Study Mode for deeper learning
Hey folks! Let’s get into Big Data and AI craziness…
In today's edition: What's Shaping the Future of Data?
🤖 AI & Humanoids in the Workforce
📊 Stack Overflow Developer Survey 2025
📈 RAG Comparison: DeepSeek-R1 vs OpenAI-o1
🛠 7 Advanced Data Manipulation Techniques for Large Datasets
🤖 Meta testing Use of AI During Coding Interviews
💰 Meta targets Mira Murati's startup with massive offers
🤝 Microsoft Nears OpenAI Agreement for Ongoing Tech Access
💡 AI Tutorial:How to manage your email and calendar with Perplexity Comet
🤖 AI Tools and Data Tools to checkout
Context engineering is the art and science of providing agents with just the right amount of information at each step of a task. It involves providing the right instructions, knowledge, and tools to optimize output while reducing token use. There are four common approaches to context engineering: writing context, selecting context, compressing context and isolating context.
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Artificial intelligence has become a lot more sophisticated and helpful over the last few decades. At the end of the 20th century, AI was still very rudimentary and couldn’t accomplish many tasks. Robots in the workforce existed within the pages of sci-fi books alone.
Stack Overflow's 2025 Developer Survey received over 49,000 responses from 177 countries across 62 questions focused on 314 different technologies. The survey provides a snapshot into the needs of the global developer community with a focus on the tools and technologies they use or want to learn more about. Topics covered include cloud platforms, AI agents, large language models, AI tools, and job satisfaction.
DeepSeek-R1 delivers OpenAI-o1 level intelligence at 90% less cost. In this studio we build a Streamlit app to compare and evaluate them using RAG. There is a separate notebook for the evaluation task using Comet ML's Opik where you'll find all the code to create and load the evaluation dataset, run an experiment and get the evaluation results in a dashboard.
This article is about answering that question. We’re going to look at seven tools and techniques that go beyond Pandas, things built for bigger data, faster execution, and more efficient pipelines. By the end of this, you’ll know when to switch gears, what tool to reach for, and how to actually use it in your own workflows.
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👨💻 Data Tools, Libraries
WebJSX (GitHub Repo)
WebJSX is a minimal library for building web applications with JSX and Web Components. It provides two core functions: createElement, which creates virtual DOM elements using JSX, and applyDiff.
Swapy (GitHub Repo)
Swapy is a simple JavaScript tool that converts any layout into a drag-to-swap one with just a few lines of code.
Venator (GitHub Repo)
Venator is a flexible threat detection system that simplifies rule management and deployment. It is optimized for Kubernetes deployment but can run standalone or with other job schedulers.
AI News:
OpenAI just rolled out Study Mode for ChatGPT, a new feature designed to guide students through problems step-by-step, using Socratic questions and feedback instead of just providing solutions. Study Mode uses custom instructions created with teaching experts to ask guiding questions and provide interactive learning instead of direct answers.
Whether you’re looking to change careers or just learn something new, Codecademy can help. With over 600 interactive courses, plus portfolio projects and industry certification prep, you'll get hands-on experience using in-demand tech skills. Big Data News Weekly readers can use code SKILLUP15 to save 15% on a year of Codecademy Pro.
Meta has approached over a dozen employees at ex-OpenAI CTO Mira Murati's Thinking Machines Lab, according to Wired, offering massive compensation packages (including one exceeding $1B) to join its superintelligence team. Zuckerberg’s outreach reportedly includes personally messaging recruits via WhatsApp, followed by interviews with him and other executives.
Microsoft and OpenAI are in advanced talks over an agreement that would remove a major obstacle to OpenAI's efforts to become a for-profit enterprise. The new terms would let Microsoft use OpenAI's latest technology even if the startup decides it has reached its goal of building artificial general intelligence. The deal has still not been finalized and could change.
Based on prompts, “Canvas” will automatically add and store information, over multiple sessions, into individual boards within a side panel, designed to help with things like study plans or travel itineraries. “Search Live” is connected to Google Lens (Google's visual search tool) and will allow users to have real-time, two-way conversations about complex topics, which Google believes is like having “an expert on speed dial.”
Meta is planning to pilot “AI-Enabled Interviews,” granting select coding applicants access to AI assistants during tests to better reflect real-world dev practices and reduce AI-related cheating risks. The company has also asked existing employees to volunteer for a “mock AI-enabled interview” to help develop the feature.
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AI Tutorial
How to manage your email and calendar with Perplexity Comet
Open the Perplexity Comet browser
Go to your profile> Connectors> enable Calendar and Email
Open Comet assistant and ask anything you want
Sample Prompt: “What’s on my calendar for the coming week?”
Or “Who am I meeting today?“
You can use it to reschedule any event, get smart summaries, optimize your schedule, and more.
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